System Requirements Document (SRD) for opal-ai

1. Introduction

This document outlines the system requirements for opal-ai, a business automation application designed to streamline operations and enhance productivity. The project is tailored for Priyanshi Pal, based in India, and aims to deliver a robust AI-powered solution within a budget of $2000. The system will focus on automating key business processes, ensuring efficiency, and providing a user-friendly experience.

2. System Overview

opal-ai is envisioned as a cutting-edge AI application that leverages advanced machine learning models and automation tools to optimize business workflows. The system will cater to small and medium-sized enterprises (SMEs) by automating repetitive tasks, improving decision-making, and reducing operational overhead. The application will be accessible via both web and mobile platforms, ensuring flexibility and ease of use.

Key features include:

• Workflow automation for repetitive tasks.
• Integration with existing business tools and APIs.
• AI-driven insights and analytics for better decision-making.
• Scalable architecture to accommodate future growth.

The system will be developed using modern technologies, ensuring reliability, security, and scalability.

3. Functional Requirements

• As a User, I should be able to automate repetitive business tasks.
• As a User, I should be able to integrate the app with existing business tools via APIs.
• As a User, I should be able to access AI-driven insights and analytics for decision-making.
• As a User, I should be able to customize workflows based on my business needs.
• As a User, I should be able to monitor and track the performance of automated processes.
• As an Admin, I should be able to manage user roles and permissions.
• As an Admin, I should be able to oversee system performance and logs.
• As a User, I should be able to interact with the AI system for recommendations and support.

4. User Personas

4.1 Business Owner (Primary User)

• Role: Oversees business operations and seeks to automate workflows.
• Goals: Save time, reduce costs, and improve efficiency.
• Technical Proficiency: Moderate; familiar with basic business tools.
• Needs: Intuitive interface, reliable automation, and actionable insights.

4.2 Admin

• Role: Manages the system, user roles, and permissions.
• Goals: Ensure smooth operation and security of the platform.
• Technical Proficiency: High; capable of handling system configurations.
• Needs: Comprehensive admin dashboard and system monitoring tools.

4.3 Team Member

• Role: Uses the system for specific tasks assigned by the Business Owner.
• Goals: Complete tasks efficiently using automated workflows.
• Technical Proficiency: Low to moderate.
• Needs: Simple and guided workflows.

5. Visuals Colors and Theme

Color Palette

• Background: #F5F9FF (Soft Sky Blue)
• Surface: #FFFFFF (Pure White)
• Text: #2C3E50 (Deep Charcoal)
• Accent: #FF6F61 (Vivid Coral)
• Muted Tones: #B0BEC5 (Cool Gray)

Theme Description

The theme for opal-ai is modern and professional, with a focus on clarity and usability. The soft sky blue background provides a calming effect, while the vivid coral accent adds energy and draws attention to key elements. The deep charcoal text ensures readability, and the cool gray muted tones are used for secondary elements.

6. Signature Design Concept

Dynamic Workflow Canvas

The homepage of opal-ai will feature an interactive workflow canvas that visually represents automated processes. Users will see a dynamic flowchart where each node represents a task or action. These nodes will animate subtly, pulsating or glowing to indicate activity. Users can:

• Drag and drop nodes to customize workflows.
• Click on nodes to view detailed analytics or modify settings.
• Watch real-time updates as the AI processes tasks.

The canvas will have a 3D parallax effect, giving it depth and making it feel alive. Transitions between sections will be smooth, with micro-interactions like hover effects and tooltips guiding the user. The design will make automation tangible, engaging, and intuitive.

7. Non-Functional Requirements

• Performance: The system should handle up to 10,000 concurrent users with minimal latency.
• Scalability: The architecture must support future feature expansions and increased user load.
• Security: Ensure data encryption (at rest and in transit) and compliance with GDPR and local regulations.
• Availability: The system should maintain 99.9% uptime.
• Localization: Support for Indian time zones (IST) and currency (INR).

8. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database

• MySQL (with Alembic for migrations)

AI Models

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for academic or coding work
• Gemini 3.1 Pro for friendly responses

AI Tools

• Litellm for LLM Routing
• Langchain

Orchestration

• Docker and docker-compose for local development
• Kubernetes for server-side orchestration

9. Assumptions and Constraints

• The budget for the project is capped at $2000.
• The system will primarily target SMEs in India.
• The application must be delivered within a 6-month timeline.
• Integration with third-party APIs will depend on their availability and documentation.

10. Glossary

• AI: Artificial Intelligence.
• API: Application Programming Interface.
• SME: Small and Medium-sized Enterprises.
• GDPR: General Data Protection Regulation.
• IST: Indian Standard Time.
• LLM: Large Language Model.